Triple
T11858409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Douye Diri |
E282097
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Yenagoa |
E60218
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Yenagoa | Statement: [Douye Diri, residence, Yenagoa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yenagoa Context triple: [Douye Diri, residence, Yenagoa]
-
A.
Yenagoa
chosen
Yenagoa is the capital city of Bayelsa State in southern Nigeria, located in the oil-rich Niger Delta region.
-
B.
Ijaw
The Ijaw are one of the largest ethnic groups in the Niger Delta region of Nigeria, known for their riverine culture, fishing traditions, and significant role in the country's oil-producing areas.
-
C.
Auchi
Auchi is a prominent town in southern Nigeria known as a commercial and educational hub within Edo State.
-
D.
Ikare-Akoko
Ikare-Akoko is a major commercial and cultural town in southwestern Nigeria, serving as one of the key urban centers in the Akoko region.
-
E.
Ondo
Ondo is a historic Yoruba town in southwestern Nigeria known for its traditional monarchy, cultural heritage, and role as a regional commercial center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a699089c8190b7a298baf13dcded |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49cd0f8e0819081e4492e0002e48a |
completed | May 1, 2026, 12:30 p.m. |
Created at: April 8, 2026, 9:43 p.m.